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Search Results (41)
  • Open Access

    REVIEW

    Progress on diagnostic and prognostic markers of pancreatic cancer

    HONG YANG1,2, WAN LI1,2, LIWEN REN1,2, YIHUI YANG1,2, YIZHI ZHANG1,2, BINBIN GE1,2, SHA LI1,2, XIANGJIN ZHENG1,2, JINYI LIU1,2, SEN ZHANG1,2, GUANHUA DU1,2, BO TANG3, HONGQUAN WANG3, JINHUA WANG1,2,*

    Oncology Research, Vol.31, No.2, pp. 83-99, 2023, DOI:10.32604/or.2023.028905

    Abstract Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies a significant place due to… More > Graphic Abstract

    Progress on diagnostic and prognostic markers of pancreatic cancer

  • Open Access

    ARTICLE

    An inflammatory-related genes signature based model for prognosis prediction in breast cancer

    JINGYUE FU, RUI CHEN, ZHIZHENG ZHANG, JIANYI ZHAO, TIANSONG XIA*

    Oncology Research, Vol.31, No.2, pp. 157-167, 2023, DOI:10.32604/or.2023.027972

    Abstract Background: Breast cancer has become the most common malignant tumor in the world. It is vital to discover novel prognostic biomarkers despite the fact that the majority of breast cancer patients have a good prognosis because of the high heterogeneity of breast cancer, which causes the disparity in prognosis. Recently, inflammatory-related genes have been proven to play an important role in the development and progression of breast cancer, so we set out to investigate the predictive usefulness of inflammatory-related genes in breast malignancies. Methods: We assessed the connection between Inflammatory-Related Genes (IRGs) and breast cancer by studying the TCGA database.… More > Graphic Abstract

    An inflammatory-related genes signature based model for prognosis prediction in breast cancer

  • Open Access

    ARTICLE

    A pan-cancer analysis identifies SOAT1 as an immunological and prognostic biomarker

    YANGQING HUANG1,2, XINLAN ZHOU1, XIUFEN LI1, DAN HUANG1, ZHONG FANG3,*, RONGRONG DING1,*

    Oncology Research, Vol.31, No.2, pp. 193-205, 2023, DOI:10.32604/or.2023.027112

    Abstract Sterol o-acyltransferase1 (SOAT1) is an enzyme that regulates lipid metabolism. Nevertheless, the predictive value of SOAT1 regarding immune responses in cancer is not fully understood. Herein, we aimed to expound the predictive value and the potential biological functions of SOAT1 in pan-cancer. Raw data related to SOAT1 expression in 33 different types of cancer were acquired from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. SOAT1 expression was significantly increased in most cancers and showed a distinct correlation with prognosis. This enhanced expression of the SOAT1 gene was confirmed by evaluating SOAT1 protein expression using tissue microarrays. In… More >

  • Open Access

    ARTICLE

    Prognostic prediction and expression validation of NSD3 in pan-cancer analyses

    SHA LI1,2,#, YAQIONG LIU3,#, CHAOLING YAO1, ANJI XU1, XIAOLING ZENG4, YUXIN GE4, XIAOWU SHENG4, HAILIN ZHANG1,2, XIAO ZHOU1,2,*, YING LONG1,2,*

    BIOCELL, Vol.47, No.5, pp. 1003-1019, 2023, DOI:10.32604/biocell.2023.027209

    Abstract Background: Nuclear receptor binding SET domain protein-3 (NSD3) is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers. We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer. Methods: The data were obtained from The Cancer Genome Atlas. Kaplan-Meier analysis, CIBERSORT, gene set enrichment analysis, and gene set variation analysis were performed. The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot. Results: The expression of NSD3 was altered in pan-cancer samples. Patients with higher levels of NDS3 generally had shorter overall survival… More >

  • Open Access

    ARTICLE

    Analysis of the personalized treatment and the relevant prognostic factors in children with medulloblastoma

    LIHUA CHEN1,2,#, HONGTIAN ZHANG1,2,#, YONG XIA1,2, KAI SUN1, WENJIN CHEN1, RUXIANG XU1,2,*

    BIOCELL, Vol.47, No.5, pp. 1065-1073, 2023, DOI:10.32604/biocell.2023.025924

    Abstract Purpose: The present study summarized cases of children (n = 32) with medulloblastoma (MB) who were treated using stratified therapy based on risk grading and also discussed the factors affecting prognosis. Methods: According to the risk stratification criteria, the cases were divided into the following four risk groups: low, standard, high, and very high. The 5-year overall survival (OS) and progression-free survival (PFS) rates were summarized. Further, the effects on the prognosis of tumor size, tumor stage, degree of resection, treatment mode, metastatic recurrence, molecular typing, and risk stratification were analyzed. Results: In the present study, following surgery, 3 cases… More >

  • Open Access

    ARTICLE

    A model based on eight iron metabolism-related genes accurately predicts acute myeloid leukemia prognosis

    ZHANSHU LIU1, XI HUANG2,*

    BIOCELL, Vol.47, No.3, pp. 593-605, 2023, DOI:10.32604/biocell.2023.024148

    Abstract Purpose: Iron metabolism maintains the balance between iron absorption and excretion. Abnormal iron metabolism can cause numerous diseases, including tumor. This study determined the iron metabolism-related genes (IMRGs) signature that can predict the prognosis of acute myeloid leukemia (AML). The roles of these genes in the immune microenvironment were also explored. Methods: A total of 514 IMRGs were downloaded from the Molecular Characteristics Database (MSigDB). IMRGs related to AML prognosis were identified using Cox regression and LASSO analyses and were used to construct the risk score model. AML patients were stratified into high-risk groups (cluster 1) and low-risk groups (cluster… More >

  • Open Access

    ARTICLE

    A Metabolism-Related Gene Signature Predicts the Prognosis of Breast Cancer Patients: Combined Analysis of High-Throughput Sequencing and Gene Chip Data Sets

    Lei Hu1,2,#, Meng Chen2,3,#, Haiming Dai2,3,4, Hongzhi Wang2,3,4,*, Wulin Yang2,3,4,*

    Oncologie, Vol.24, No.4, pp. 803-822, 2022, DOI:10.32604/oncologie.2022.026419

    Abstract Background and Aim: Hundreds of consistently altered metabolic genes have been identified in breast cancer (BC), but their prognostic value remains to be explored. Therefore, we aimed to build a prediction model based on metabolism-related genes (MRGs) to guide BC prognosis. Methods: Current work focuses on constructing a novel MRGs signature to predict the prognosis of BC patients using MRGs derived from the Virtual Metabolic Human (VMH) database, and expression profiles and clinicopathological data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Results: The 3-MRGs-signature constructed by SERPINA1, QPRT and PXDNL was found to be an… More >

  • Open Access

    ARTICLE

    Prognostic model for prostate cancer based on glycolysis-related genes and non-negative matrix factorization analysis

    ZECHAO LU1,#, FUCAI TANG1,#, HAOBIN ZHOU2,#, ZEGUANG LU3,#, WANYAN CAI4,#, JIAHAO ZHANG5, ZHICHENG TANG6, YONGCHANG LAI1,*, ZHAOHUI HE1,*

    BIOCELL, Vol.47, No.2, pp. 339-350, 2023, DOI:10.32604/biocell.2023.023750

    Abstract Background: Establishing an appropriate prognostic model for PCa is essential for its effective treatment. Glycolysis is a vital energy-harvesting mechanism for tumors. Developing a prognostic model for PCa based on glycolysis-related genes is novel and has great potential. Methods: First, gene expression and clinical data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), and glycolysis-related genes were obtained from the Molecular Signatures Database (MSigDB). Gene enrichment analysis was performed to verify that glycolysis functions were enriched in the genes we obtained, which were used in non-negative matrix factorization (NMF) to identify clusters.… More >

  • Open Access

    ARTICLE

    An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

    Jie Ren1,2, Chuqiao Xu3, Junliang Wang2,4, Jie Zhang2,*, Xinhua Mao4, Wei Shen4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 599-618, 2023, DOI:10.32604/cmes.2022.022415

    Abstract The prognostics health management (PHM) from the systematic view is critical to the healthy continuous operation of process manufacturing systems (PMS), with different kinds of dynamic interference events. This paper proposes a three leveled digital twin model for the systematic PHM of PMSs. The unit-leveled digital twin model of each basic device unit of PMSs is constructed based on edge computing, which can provide real-time monitoring and analysis of the device status. The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters, which are deployed for the manufacturing execution on the fog server.… More >

  • Open Access

    ARTICLE

    ABCC8 is correlated with immune cell infiltration and overall survival in lower grade glioma

    LIPING GONG1, MING JIA2,*

    BIOCELL, Vol.47, No.1, pp. 109-123, 2023, DOI:10.32604/biocell.2023.024620

    Abstract ATP binding cassette subfamily C member 8 (ABCC8) encodes a protein regulating the ATP-sensitive potassium channel. Whether the level of ABCC8 mRNA in lower grade glioma (LGG) correlates with immune cell infiltration and patient outcomes has not been evaluated until now. Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets. The association between ABCC8 and tumor immune cell infiltration, diverse gene mutation characteristics, tumor mutation burden (TMB), and survival in LGG was also investigated in several independent datasets. Pathway enrichment analysis was conducted to search for ABCC8-associated signaling pathways. Through an online… More >

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